Identification or Verification?
Basic Biometric Functions Verification Authenticating claimed identity, by comparing a presented image to a single, selected template. one to one Identification Determining the identity of a person by comparing a presented image to every enrolled template. one to many
All Biometrics follow a common Process Sequence Biometric Presentation Capture Process Feature Extraction Template Creation Template Storage
Generic Comparison of Biometric Technologies Cost Major Characteristics Typical Distance Typical False Reject Typical False Accept Template Size (Bytes) Application Typical Vendors Iris Mid => High Spread of Iris Pattern 10-14 0.01% 0.0000008% 512 High Security Iris ID, Aoptix, L1, SRI Fingerprint Mid Shape, position, and size Contact Required 1.0% 0.1% 1000 General Security Suprema, Aware, Morpho, AFIS Hand Readers Mid => High Size, length, width, thickness, and surface ratio Contact required 0.15% 0.1% 9 Low Security Cross Match, Cogent, Ingersol Rand Finger-Vein Mid Vein patterns in the finger Minimal contact 0.01% 0.0001% 512 Palm-Vein Mid Vein patterns in the palm 2 0.01% 0.00008% 0.8 General Security General Security M2SYS, Hitachi idlink, PalmSure, M2SYS Voice Recognition Mid Sound of Voice 1 3% 3% 1000 Telephone service Agnito, Smartmatic Facial Recognition Mid Position, size and/or shape of the eyes, nose, cheekbones, and jaw 10-60 2% 0.1% 60,000 Low Security Cross Match, L-1, Cognitec
Iris Works Where Other Biometrics Don t Iris on Smart Cards an ideal choice for less than optimal fingerprint environments. Rough work Dirty work A natural choice for Identification Credential Pristine prints difficult to acquire in environments where manual labor is prevalent. None of these very common conditions poses a problem for IrisAccess Hand Geometry Fingerprint Finger vein Face Recognition Fingerprint
The Biology Behind a Technology The donut shape of the eye except the black part(pupil) is the iris. Iris recognition technology is different from the retina scan. It is same as taking pictures using normal digital camera - no worry about eye safety. Iris Sclera Choroid Aqueous Humor Retina Cornea Optic Nerve Iris Ciliary Muscle Lens Retina
Most Accurate Statistical probability of iris achieving a false accept is 1 in 1.2 million. Examines more than 240 of the 400 measurable variables (degrees of freedom) in the human eye. Uniqueness = Accuracy The probability of two individuals having the same iris pattern is 1 in 10 78 Twins have same DNA but different iris patterns Right and left eye are totally different Stable for life after age 1 Flakes falling on Earth in one year = 10 23 Est. probability of two like irides = 10 78
Anatomy of the Iris Collarettes Ciliary Area Pupilary Area Pupil Radial furrows Pigment Frill Crypts
Key Differentiator Iris Recognition surpasses all other biometric technologies because Iris Recognition identifies
How does Iris Recognition work? 4 easy steps...
Step 1. Video image of iris is acquired Limbus and pupillary boundaries, and center zones of analysis are established Pupil dilation or contraction is accounted for Eye lashes and reflected light (specularities) in the iris area are ignored Image is adjusted for tilt
Step 2. Iris features are digitized into a 512-byte IrisCode (256 for features, 256 for control)
Step 3. During Recognition, this IrisCode record is compared to all IrisCode records in the database
Step 4. The software makes the decision: Accepted or Rejected?
Variance Analysis IrisCode generated from the presented iris 1 1 0 0 IrisCodes in Database 0 1 0 1 Result 1 0 0 1 (2048 bits) (2048 bits) HD = n / 2048 Hamming Distance (HD) = The Hamming distance refers to the amount of variance between the IrisCode generated from the presented iris, and an IrisCode from the database.
How It Works Statistical decision based on HD: Impostor or Authentic In general, if greater than 68% bits match = authentic less than 68% bits match = impostor (greater than 68% = HD < 0.32) (less than 68% = HD > 0.32)
Accept / Reject Analysis AUTHENTICS IMPOSTORS (accept) (reject) Qty of Samples.08.34.4999 Hamming Distance (HD) The result of comparing over 234,00 Iriscode records
NPL UK Test Results
Gaining Acceptance Worldwide 1 of 2 (commercial market) This is a partial list, for representation only Asset Protection Data Center Security Lab Security & Bio Hazard Containment Infrastructure Protection Workforce Management Hotels Clubs POS & Retails
Gaining Acceptance Worldwide 2 of 2 (government market) This is a partial list, for representation only Transportation Security Government & Public Safety Civil Identity India Government of Andhra Pradesh Kingdom of Jordan Vietnam Multi-stage Governmen t ID State of Qatar Sultanate of Oman Kingdom of Saudi Arabia
Entry Access Control System World Trade Center New York World Trade Center Construction Site Access Control All construction teams are currently enrolled with Iris ID technology IrisAccess deployed since 2009 Total Number Employees 4000 Integrated with DESFire cards and Lenel Access Control IrisAccess secures access to the perimeter of WTC
Data Center Security Cobalt Data Center Apple Data Center io Data Center Google Data Center
Entry Access Control System CERN European Organization for Nuclear Research (CERN) Access Control CERN - European Organization for Nuclear Research Enterprise Access Control Application Protecting 10,000 plus researchers from multiple countries Deployed on 40 access shafts protecting particle accelerators and detectors IrisAccess deployed since 2007
Transportation Security CATSA Canada: 29 Airport Deployment 29 airports in Canada deployed 180,000-200,000 employees participated Employees carry their iris template on a secure smart card Integration with existing airport security systems (16 locations)
Recent Introductory Statement From Research&Markets.org Relatively young in the biometric identification market with commercial availability only since 1995, iris biometrics, thanks to its swift results, low failure to error rates and high accuracy levels, is however fast proving to be a preferred choice of biometric identification in a range of applications.
icam7000 Series Multifactor Biometric Reader Easy Installation Accurate, Secure, Fast, Easy to Use Integrated Contactless Smart Card Reader Fully Automatic Dual Iris Capture Time and Attendance Ready Highly Scalable Solution ISO 19794-6 (iris) & ISO 19794-5 (face) compliant
TD100 Iris and Face Camera Single Motion Auto Capture Dual Iris Enrollment & Recognition OLED Touch Screen Face capture ISO Standard Compliant
icam H100 Iris + Face + Finger Single Motion Auto Capture Dual Iris Enrollment & Recognition OLED Touch Screen High Capacity on Device Matching ISO Standard Compliant Lightweight (~15 oz) WiFi - GPS AudioVideo USB Smart Card Ready - SD Memory Hot Swap Battery
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